Learn IT - Books tags regression

Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

MIT Press, 2012

This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise...

Testing SAP R/3: A Manager's Step-by-Step Guide

John Wiley & Sons, 2007

Destined to become your essential SAP R/3 desktop reference

Testing SAP R/3: A Manager′s Step–by–Step Guide demystifies this powerful software to enable professionals to implement a disciplined, efficient, and proven approach for testing SAP R/3. Providing much needed industry guidance for...

Think Stats

O'Reilly, 2014

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

By working with a single case study throughout this...

Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

Apress, 2017

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner....

Aspect-Oriented Programming with the e Verification Language: A Pragmatic Guide for Testbench Developers (Systems on Silicon)

Morgan Kaufmann, 2007

Whats this AOP thing anyway, reallywhen you get right down to itand can someone please explain what an aspect actually is?

Aspect-Oriented Programming with the e Verification Language takes a pragmatic, example based, and fun approach to unraveling the mysteries of AOP. In this book, youll learn how to:

Use...

Geographically Weighted Regression: The Analysis of Spatially Varying Relationships

John Wiley & Sons, 2002

Geographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as opposed to global models of relationships to be measured and mapped. This is the first and only book on this technique, offering comprehensive coverage on this new 'hot' topic in spatial...

TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition

Packt Publishing, 2018

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models

Key Features

Exploit the features of Tensorflow to build and deploy machine learning models

Train neural networks to tackle real-world problems in Computer Vision and...

Probability and Statistics for Engineering and the Sciences

Cengage Learning, 2011

This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. Proven, accurate, and lauded for its excellent examples, Probability and Statistics for Engineering and the Sciences evidences Jay Devore's reputation as an outstanding author and leader in the...

Lung Mechanics: An Inverse Modeling Approach

Cambridge University Press, 2009

With mathematical and computational models furthering our understanding of lung mechanics, function and disease, this book provides an all-inclusive introduction to the topic from a quantitative standpoint. Focusing on inverse modeling, the reader is guided through the theory in a logical progression, from the simplest models up to state-of-the-art...

Sigmaplot 2000: Programming Guide

Spss, 2000

The Programming Guide provides you with complete descriptions of SigmaPlot’s powerful math, data manipulation, regression, and curve fitting features. It also describes how to use SigmaPlot’s Interactive Development Environment (IDE) and Macro Recorder to automate and customize SigmaPlot tasks.

Transforms are sets of...

Computational Intelligence Paradigms: Theory & Applications using MATLAB

CRC Press, 2010

Offering a wide range of programming examples implemented in MATLAB^®, Computational Intelligence Paradigms: Theory and Applications Using MATLAB^® presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy...

Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced predictive models using Python

Packt Publishing, 2018

Learn advanced techniques to improve the performance and quality of your predictive models

Key Features

Use ensemble methods to improve the performance of predictive analytics models

Implement feature selection, dimensionality reduction, and cross-validation...

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